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CineSense
Working MVP that aggregates movie reviews and produces a spoiler-resistant user satisfaction score with NLP sentiment analysis.
What I did
Original product idea and implementation.
Highlights
- Uses TMDB-powered movie search/autocomplete and Playwright-based review scraping.
- Classifies reviews as positive/neutral/negative using a pretrained BERT sentiment model from Hugging Face.
- Aggregates results into a Net Satisfaction Score so users do not need to read large volumes of reviews.